A New System for Measuring the Auto-Fluo Changes in Age-Related Macula Degeneration after Intravenous Injection of Bavecizumab Medicine

Abstract: In aged people, age-related macula degeneration is the second prevalent disease after diabetes which causes blindness. The only cure for age-related macula degeneration is the Bavecizumab intravenous medicine injection. To prove this treatment, the number of dead cells in macula area should be considered. In this paper, to obtain the number of dead cells, a novel system has been presented for measuring the existing auto fluorescence in macula area of retinal images. This combinational system is composed from three parts; pre-processing of retinal, processing the images, and understanding the images. The pre-processing level, includes eliminating margins, and reversing retina image. In processing level, the image is segmented, and features are extracted, where the segmentation has been done using techniques like morphology, dynamic thresholding and connected components. The specifications of target areas are the Euclidian distance to the center of the image, and density. In the understanding level of image, collecting the specifications of each class, macula area and the measurable parameter for evaluating the amount of auto fluorescence is obtained which is useful for determining the number of dead cells in macula area. The results are concluded using probabilistic analysis including linear regression and correlation between data. The method is tested on a database composed of 34 retina images belonging to patients of age-related macula degeneration.
Keywords: Age-related macula degeneration, Connected components, Morphology, Macula, , Retina image.
References:1.Z. Liu, C. Opas, S. Krishnan, "Automatic image analysis of fundus photograph", In proceedings of 19th IEEE Int. Conf. on Eng. in Medicine and Biology Society, pp.524-525, 1997.
2.B. Ege, O. Larsen, O. Hejlesen, "Detection of abnormalities in retinal images using digital image analysis", In proc. of the 11th Scandinavian Conf. on Ima. Proc., pp.833-840, 1999.
3.T. Walter, J. Klein, P. Massin, A. Erginary, "A contribution of image processing to the diagnosis of diabetic retinopathy, detection of exudates in colour fundus images of the human retina", IEEE Trans. on Media Imaging., 21(10):1236-1243, 1998.
4.N. Otsu, "A threshold selection method from gray-level histograms", IEEE Trans. on Systems, Man, and Cybernetics., Vol.9, No.1, pp.62-66, 1979.
5.R. M. Rangayyan, "Biomedical image analysis", University of Calgary, Alberta, Canada,’book’, 2005.
6.R. C. Gonzalez, R. E. Woods, "Digital image processing", 2nd.Ed., Prentice Hall Upper Saddle River, New Jersey, 2001.
7.Li. Huiqi, Opas Chutatape, "Automated feature extraction in color retinal images by a model based approach", IEEE Trans. on Bio. Engi., Vol.51, No.2, Feb. 2004.
8.N. Katz, M. Goldbaum, et al., "An image processing system for automatic retina diagnosis", SPIE, Vol.902, 1988.
9.J. Hope Mccoll, "Multivariate probability", Paperback – Jan. 2002.
10.Z. Peebles Peyton, "Probability, random variables and random signal principles", 2009.

1-6

2.

Authors:

Prahlad Patel

Paper Title:

Control Systems for Heating, Ventilating & Air Conditioning Systems: Prediction

Abstract: In this paper, we challenges on performance prediction for control systems in HVAC systems that contains predicting resistance, predicting output voltage, predicting output Pressure, inaccuracies in pneumatic and electronic measuring instruments. Performance prediction is applicable to electric, electronic, and pneumatic type automatic temperature control (ATC) systems. Performance prediction is the process of calculating what the output of the controller should be, based on the conditions being sensed and controlled. Performance prediction is one step in the overall calibration procedure
Keywords: HVAC, ATC.
References:1.R. W. Hains, Control Systems For Heating, Ventilating, and Air Conditioning, Sixth Eition , Springer, 2006.
2.J. E. Haines, Automatic Control of Heating and Air Conditioning, McGraw Hill Book Co., New York, 2007.
3.HVAC System Control, A publication of Trane American Standard Inc 2008.

Abstract: In this paper a comparative study of CSI fed BLDC motor using Boost and Buck Converter are presented. Traditionally BLDC motor drives are fed by Voltage Source Inverters (VSI). Current Source Inverters (CSI) on the other hand does not require the huge DC link capacitor thereby reducing the cost and losses in the system. The large value of the inductor can be replaced using suitable Boost and Buck converter. In this paper a basic structure of a DC boost converter and a basic structure of a DC buck converter are proposed in PSIM to provide the nominal power to BLDC motor from a fixed DC source and to control the speed of the system. The effectiveness of proposed system is validated by simulation results.
Keywords: BLDC, Boost, Buck, CSI, VSI, PSIM;
References:1.J.Karthikeyan and Dr.R.Dhanaseksran,”DC-DC Converter CSI fed BLDC Motor for Defense Applications”2011 International Conference on Recent Advancement in Electrical,Electronics and Control Engineering.
2.G.Prasad,etc”Mathematical Modelling and Simulation Analysis of Brushless DC Motor by using SI
3.MULINK.” International Journal of Electronics Communication and Computer Engineering Volume 3, Issue 5,
4.BikramDas, SuvamitChakraborty, Prabir Rn. Kasari, Abanishwar Chakraborti &Manik Bhowmik” Speed Control of BLDC Motor using Soft Computing Technique and its Stability Analysis” International Journal of Electronics Communication and Computer Engineering Volume 3, Issue 5,
5.Bhim Singh, Sanjeev Singh.”State of the Art on Permanent Magnet Brushless DC Motor Drives” Journal of Power Electronics, Vol. 9, No. 1, January 2009..
6.Simulation model for Brushless DC Motors”.JPE 11-2-8
7.PSIM User’s Guide Version 6.1 Release 3 February 2005.
8.Simulation software-PowersimPSIM9.0.4_Network.

Design and Implementation Procedure for Administration and Evaluation in E-Marking-System

Abstract: In the near future, a pervasive digitization environment can be expected based on the recent progresses and advances in computing and programming technologies. Next generation of evaluation system is transformed from manual evaluation process to digitization evaluation process. The digitization evaluation process is called E-marking system. This E-marking system is designed for digitization of the evaluation process so that we can reduce the errors in the evaluations process and can release the results in more easy way. This paper describes how the digitization is done to evaluation process by giving its related research background including the concept, features, status, and applications of E-marking system. Some of the technical challenges that have been faced during the development process of E-marking system are also presented.
Keywords: digitalization evaluation processes, E-marking system, digitalization environment, computing, programming technologies.
References:1.Hansen, W. J. and Haas, C. (1988). Reading and writing with computers: a framework for explaining differences in performance. Comm. ACM. Vol. 31(9), 1080-1089
2.Harpster, J. L. (1989). Visual performance on CRT screens and hard copy displays. Human Factors. Vol. 31(3), 247-257. Johnson, M. and Greatorex, J. (2008). Judging text presented on screen: implications for validity. E-Learning. Vol. 5(1), 40-50.
3.Kurniawan, S. H, and Zaphiris, P. (2001). Reading online or on paper: Which is faster? Proceedings of HCI International 2001. Mahwah, NJ: Lawrence Erbaum Associates.
4.Mayes, D. K., Sims, V. K. and Koonce, J. M. (2001). Comprehension and workload differences for VDT and paper-based reading. International Journal of Industrial Ergonomics. 28, 367-378.
5.Bennett, R. E. (2003) On-line Assessment and the Comparability of Score Meaning (ETS RM-03-05), Princeton, NJ: Educational Testing Service.
6.Newton, P., Whetton, C. Adams, E. Bradshaw, J. and Wong, C. (2001) An Evaluation of the 2001 New Technologies Pilot, NFER.
7.“ICT in Assessment: a three-legged race” Patrick Craven and RobertHarding, February2001, http://www.ocr.org.uk/news/artcl34.htm
8.“Schooling for Tomorrow. Learning to Change: ICT in Schools” OECD 2001 (http://www.oecd.org)
9.“Evaluation of Enigma computer based examination pilot (7-9 October1997)”, Trevor Dexter and AlfMassey (UCLES/RED internal report,(January 1998)

Abstract: The purpose of the study outlined in this is to identify major energy loss areas in Zimbabwe’s thermal power stations and develop a plan to reduce them using energy and exergy analysis as the tools. The energy supply to demand is narrowing down day by day around the world due to the growing demand and sometimes due to ageing of machinery. Most of the power plants are designed by the energetic performance criteria based not only on the first law of thermodynamics , but the real useful energy loss cannot be justified by the fist law of thermodynamics, because it does not differentiate between the quality and quantity of energy. The present study deals with the comparison of energy and exergy analysis of thermal power plants stimulated by coal. Our national electricity requirement is about 2100MW against 1615MW supply; this is evident of about 21% deficit in terms of power requirements. In view of this situation, the project seeks to increase output from the Power Stations (PS) in the process closing down on the power shortages now and in the future through effective and efficiency improvement.
Keywords: Energy, Exergy, Effective, Efficiency, Improvement, Thermal Power Station
References:1.Tekin T. and Bayramoglu M., (1998) Exergy Analysis of the Sugar Production Process from Sugar Beets, Int. J. of Energy Research, Vol 22 ,591-601,1998.
2.Wiser, Wendell H (2000), Energy resources: occurrence, production, conversion, use .ISBM 0-387-98744-4(alk.paper)
3.Jin H., Ishida M., Kobayashi M., Nunokawa M., (1997), Exergy Evaluation of Two Current Advanced Power Plants: Supercritical Steam Turbine and Combined Cycle, Trans. of ASME, Vol. 119, pp 250 – 256, Dec. 1997.
4.Naterer GF, Regulagadda P, Dincer I., (2010), Exergy analysis of a thermal power plant with measured boiler and turbine losses, Applied Thermal Engineering 2010; 30:970–6.
5.Bejan, (2002), Fundamentals of Exergy Analysis, Entropy Generation Minimization, and the Generation of Flow Architecture, International Journal of Energy Research, Vol. 26, No. 7, 2002, pp. 545-565.
6.Rosen MA. (2001) Energy and exergy based comparison of coal-fired and nuclear steam power plants. International Journal of Exergy Analysis 2001.
7.Kapooria R.K, Kumar S, Kasana K.S,(2008), An analysis of a thermal power plant working on a Rankine cycle: a theoretical investigation, Journal of Energy in Southern Africa.Vol.No.1. February 2008.

20-25

6.

Authors:

Shipra Gupta, Chirag Sharma

Paper Title:

A New Method of Image Compression Using Multi wavelet Technique with MFHWT and ROI in SPIHT

Abstract: In medical field the images produce by the modality is in the form of large file, in order to get the opinion from other doctors images are send using electronic media. As the file of images is very large to send, we require to have compression for images but with compression there is loss of information in the image. To minimize the loss and to increase the quality of image and requires compression is also to be done, wavelet transformation technology plays a vital role. So, in this paper we consider that multi wavelet with Region of Interest (ROI) selecting portion will not only give the quality but also reduce the loss of information from image. And we are going to implement the multi wavelet transformation with Modified Fast Haar Wavelet Transform (MFHWT) in Set Partitioning in Hierarchical Trees algorithm.
Keywords: Medical Image, MFHWT, Multi wavelet, ROI, SPIHT.
References:1.Kaur Navjot, Singh Preeti, (2012), “A new method of image compression using improved SPIHT and MFHWT”, IJLRST, Vol.1, Pp-124-126.
2.Liu Bo, Wang Jianjun, (2009), “Modified SPIHT based image compression algorithm for hardware implementation”, IEEE, Pp-572-576.
3.Bell .E Amy, Martin .B Michael, (2001), “New image compression techniques using multi wavelet and multi wavelet packets”, IEEE, Vol.10, Pp-500-510.
4.Adams Damien, Patterson Halsey, (2006), “The haar wavelet transform: Compression and Reconstruction”.
5.U. S. Ragupathy, D. Baskar, A. Tamilarasi, (2008), “New method of image compression using multiwavelets and set partitioning algorithm”, IEEE.
6.Kalpana .E, Sridhar .V, (2012), “ECG data compression using SPIHT algorithm and transmission using Bluetooth technology”, IJARECE, Vol.1, Pp-21-29.
7.Amin .H, Dehmeshki .J, Dehkordi .M, Firoozbakht .M, Martini .M, Qanadli .SD, Youannic .A, (2010), “Compression of digital medical images based on multiple regions of interest”, IEEE, Pp-260-263.

An Area Efficient, High Speed Novel VHDL Implementation of Linear Convolution of Two Finite Length Sequences Using Vedic Mathematics

Abstract: This paper presents a novel method of implementing linear convolution of two finite length sequences (N×N) in hardware using hardware description language (VHDL). The proposed method uses modified design approach by replacing the conventional multiplier by Vedic multiplier internally in the implementations. The proposed method is efficient in terms of computational speed, hardware resources and area significantly. The efficiency of the proposed algorithm is tested by simulations and comparisons with different design approaches using XILLINX software. The presented circuit consumes less power and has a delay of 17ns from input to output. The proposed circuit is also modular, expandable and regular which provides flexibility to form different number of bits.
Keywords: N×N, VHDL, XILLINX.
References:1.K.Mohammad,S.Agaian,“Efficient FPGA implementation of convolution”, Proceedings of the 2009 IEEE International Conference on Systems, Man, and Cybernetics San Antonio, TX, USA - October 2009
2.Swami Bharati Krshna Tirthaji,“Vedic Mathematics.” Delhi: Motilal Banarsidass Publishers, 1965.
3.V.Kunchigi,L.Kulkarni,,S.Kulkarni-“High Speed and Area Efficient Vedic Multiplier”
4.P.Mehta,D.Gavli,“Conventional versus Vedic mathematical method for Hardware implementation of a multiplier”, 2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies.

World Class Manufacturing status Assessment for a Margarine Producing Company in Zimbabwe

Abstract: The world has become global in the way goods and services are produced and marketed. The stiff global competition faced by these companies necessitates a need to embark on radical strategies in the form of World Class manufacturing philosophies to survive, make profit and remain competitive. While companies in developing countries strive to adopt these World Class Manufacturing (WCM) philosophies into their production process, there is often lack of a measure on their progress towards world class manufacturing status besides the improvement in productivity. This paper’s focus is on how companies can assess their progress in terms of achieving a world class manufacturing status. The research starts with an assessment of the world class status of the company that has adopted best manufacturing practices. A Current State Radar Chart (CSRC) is drawn to see the company’s position on the radar. Researches methods (questionnaires, interviews, company audit) are used to identify wastes according to WCM. WCM techniques were used to minimise wastes. A Future State Radar Chart (FSRC) is drawn to assess the improvements made. The company was operating its margarine production process at 35% of a world class process. The major waste identified was the downtime. Downtime contributed to 74% of the total available time leaving production only 26% of the available time. WCM techniques realised a reduction in downtime by 30% and increased the available time for production to 56%. These changes achieved a 56% of a world class process on the FRC drawn.
Keywords: Lean manufacturing, Margarine Production, World Class Manufacturing.
References:1.Goriwondo W.M., and Maunga N, (2012) Lean Six Sigma Application for Sustainable Production: A Case Study for Margarine Production in Zimbabwe, International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-1, Issue-5, October 2012pp 87-96
2.Sterner, R. W. et tal, (2012) The Conservation of Mass. Nature Education Knowledge Conference University of Minnesota
3.Spx equipment manufacturers (2012),Available from:http://www.spx.com/en/assets/pdf/GS_margarine_production_07_12_GB_web.pdf [ACCESSED 02/11/2012]
4.Klaus A. A., (2005)Margarine Processing, Plants and Equipment Bailey’s Industrial Oil and Fat Products, Sixth Edition, Six Volume Edited by Fereidoon Shahidi: John Wiley & Sons
5.Audioenglish.net (n.d) Available from: http://www.audioenglish.net/dictionary/pasteurization.htm [ACCESSED 09/11/2012]
6.Michael M. C., (2005)Margarines and Spreads Bailey’s Industrial Oil and Fat Products, Sixth Edition, Six Volume Edited by Fereidoon Shahidi: John Wiley & Sons
7.Murino,T., Naviglio, G. and Romano E, (2012), A world class manufacturing implementation model, Applied mathematics in electrical and computer engineering,ISBN:978-1-61804-064-0.
8.Salaheldin, S.S. and Eid, R., (2007), The implementation of world class manufacturing techniques in the Egyptian manufacturing firms: An empirical study, industrial Management &Data systems,Vol.107 Iss:4,pp 551-566
9.Lubrich, L. and Watson, M., (2004). Implementing world class manufacturing: business manual, WCM associates, ISBN No.0966290615.
10.Bonte, L., (2012), Our journey to world class manufacturing, transforming tomorrow, ArcelorMittal, News and media.
11.Ranky, P.G., (1999), Concurrent Engineering Video Programs Vol.7&8 for Engineering, Computing and Management Students and Professionals, CIMware
publishers.
12.Womack J. P., and Jones D. T., (1996) Lean Thinking: Simon & Schuster
13.Trojeck D ., (2012) Available from: http://dantrojacek.wordpress.com/2012/07/05/lean-manufacturing-eliminating-the-8-hidden-wastes-part-1-of-8-the-d-in-downtime/ [ACCESSED 19/11/2012]
14.AME, (2008) Available from :http://www.leanvalue.com [ACCESSED 01/10/2012]
15.Adopt Lean, (2012) Available from:http://www.adoptlean.com/index.php?option=com_content&task=view&id=27&Itemid=77 [ACCESSED 15/10/2012]
16.Hines P. and Taylor D., (2000) Going Lean: Lean Enterprise Research Center
17.Spear S., (2004)Learning To Lead At Toyota: Harvard Business Review
18.Folkgroup, (2008), Available from:http://www.folkgroup.com/leanmanufacturing.pdf [ACCESSED 10/10/2012)
19.Womack J. P., Jones D T. and Ross D., 1990. The machine that changed the world, Macmillan Company, New York.
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52-57

13.

Authors:

Dillip Kumar Mahapatra, Tanmaya Kumar Das

Paper Title:

Prioritizing SCM for Managing Inconsistency in Distributed Software Project Development

Abstract: The evolution of software engineering has been constant over the past four decades. Some major technological discontinuities, however, can be identified in this progress, which caused a more radical rethinking of the previous established approaches. This, in turn, generated research for new methods, techniques and tools to properly deal with the new challenges. Distributed Software Development (DSD) has recently evolved, resulting in an increase in the available literature. Organizations now have a tendency to make greater development efforts in more attractive zones. The main advantage of this lies in a greater availability of human resources in decentralized zones at less cost. There are, however, some disadvantages which are caused by the distance that separates the development teams. Coordination and communication become more difficult as the software components are sourced from different places, thus affecting project organization, project control, and product quality. New processes and tools are consequently necessary. This paper highlights the software engineering process for distributed software development and related topics in coordination of projects and project artifacts. Different configuration management systems (CMS) approaches and techniques are discussed; these include client-server, k-mutual exclusion, and distributed configuration management systems. New trends in CMS technologies and approaches are also outlined here. Some major areas are addressed in this paper like: how does CMS enable collaborative work; information exchange among clients at different geographical areas and the knowledge management across distributed clients.
Keywords: Aggregation, Co-operative, Collaborative, Editors, Knowledge Management, Milestones, SCM, Release, Version, Version-Control.